Peishan Cong | DeepAI

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∙ 07/26/2023

Human-centric Scene Understanding for 3D Large-scale Scenarios

Human-centric scene understanding is significant for real-world applicat...

0 Yiteng Xu, et al. ∙

∙ 11/30/2022

Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR

Depth estimation is usually ill-posed and ambiguous for monocular camera...

0 Peishan Cong, et al. ∙

∙ 11/22/2022

LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors

LiDAR can capture accurate depth information in large-scale scenarios wi...

0 Xiao Han, et al. ∙

∙ 05/30/2022

LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors

We propose a multi-sensor fusion method for capturing challenging 3D hum...

5 Chengfeng Zhao, et al. ∙

∙ 04/03/2022

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Accurately detecting and tracking pedestrians in 3D space is challenging...

13 Peishan Cong, et al. ∙

∙ 03/20/2022

Self-supervised Point Cloud Completion on Real Traffic Scenes via Scene-concerned Bottom-up Mechanism

Real scans always miss partial geometries of objects due to the self-occ...

0 Yiming Ren, et al. ∙

∙ 03/26/2021

Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation

A thorough and holistic scene understanding is crucial for autonomous ve...

0 Peishan Cong, et al. ∙

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